Early Predictive Indicators of Contractor Performance A Data-Analytic Approach

Abstract

A recurring challenge to successful acquisition program execution is poor contractor performance. The Deputy Assistant Secretary for Acquisition Integration, Office of the Assistant Secretary of the Air Force for Acquisition, Technology, and Logistics (SAF/AQX) asked RAND Project AIR FORCE to develop and prototype data-analytic methods on a variety of disparate and disjointed government and external data sources to identify potential execution performance and relative contractor performance risks earlier than would be typically reported via traditional methods. In this report, the authors discuss initial insights and approaches in exploring and prototyping these methods. Subsequent work and further development are ongoing.

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Document Details

Document Type
Technical Report
Publication Date
May 17, 2022
Accession Number
AD1168976

Entities

People

  • Alejandro V. Camargo
  • David Kravitz
  • Grant E Johnson
  • James Ryseff
  • Megan Mckernan
  • Philip S. Anton
  • Samantha S Cohen
  • Stephen B. Joplin
  • William Shelton

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Business Intelligence
  • Combat Readiness
  • Contractors
  • Contracts
  • Curve Fitting
  • Defense Systems
  • Delphi Method
  • Department Of Defense
  • Governments
  • Indicators
  • Logistics
  • Prototypes
  • Robotics
  • Supply Chain
  • United States
  • User Interface

Readers

  • Defense Acquisition Program Management
  • Distributed Systems and Data Platform Development